< Quantitative Methods for Science, Social Science and Medicine : MSc (Full Time)

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Quantitative Methods for Science, Social Science and Medicine

MSc (Full Time)

Year:14/15
UCAS Code:NONE
Minimum Length:12 Month(s)
Maximum Length:12 Month(s)
Credit Points:180
Director of Studies:Dr JC Harman

Educational Aims: Knowledge, Understanding and Skills

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To produce graduates with a mature understanding of scientific reasoning, a good level of technical statistical expertise and well-developed collaborative skills.

 To develop students who are able to relate their work to the interests of researchers from the increasingly interwoven areas of science, education, health and medicine, industry, social services, criminal justice, market research, housing and ethnicity.

 To provide students with a firm grounding in the joint roles of substantive theory, data collection and statistical analysis.

 To equip students with an understanding of how this knowledge can be applied to study scientific, social, health, economic and management issues, together with a consideration of the policy implications of quantitative social and scientific research.

Learning Outcomes: Knowledge, Understanding and Skills

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A.     Subject-specific knowledge and understanding

 

A1. Understanding of the mathematical foundations of statistical techniques

A2. Technical expertise in the application of a range of statistical methods for the design and analysis of scientific and social studies

A3. Use of specialist statistical software packages for data analysis

A4. Thorough understanding of problems inherent in designing, executing and evaluating research projects and published work

 

B.     Practical skills

 

B1. Ability to communicating statistical issues to non-statisticians and to understand problems from the collaborator's viewpoint

B2. Competence in research design, data analysis, statistical modelling and interpretation

B3. Awareness of the range of modern statistical software packages available for data analysis

B4. Ability to select appropriate statistical methods for the problem at hand

B5. Awareness of the need for critical assessment of assumptions and the consequences of misuse of methods

B6. Ability to read, synthesise information from a variety of sources and critically appraise research publications.

 

C.     Transferable skills

 

C1. Problem solving skills; ability to engage intelligently in new situations

C2. Oral and written presentation skills

C3. Ability to work effectively both independently and as part of a group

C4. Ability to learn from various styles of presentation of material

C5. Capacity for self-directed learning

C6. Flexibility to learn and apply new methods

C7. General IT skills, including effective access to library and other information sources

C8. Work organization, time and project management.

 

Lancaster University
Bailrigg
LancasterLA1 4YW United Kingdom
+44 (0) 1524 65201